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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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Machine Learning for Text

three categories: - Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for machine learning from text such as preprocessing;

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Machine Learning for Text

three categories: - Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for machine learning from text such as preprocessing;

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Introduction to Machine Learning with Python

encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine;

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Machine Learning Theoretical Foundations and Practical Applications

learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web;

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Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;

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Machine Learning with PySpark

features with PySpark to train the machine learning models. The natural language processing section covers text processing, text mining, and;

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Statistical Machine Learning

for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework;

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Document Processing Using Machine Learning

* Machine learning algorithms for document analysis * Extreme learning machines and their applications * Mathematical foundation for Web text;

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Machine Learning with Spark -

powerful tools to load, analyze, clean, and transform your data Who This Book Is For If you have a basic knowledge of machine learning and;

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Hands-On Artificial Intelligence on Amazon Web Services

speech-to-text with Amazon Transcribe and Amazon Polly. Later, you'll discover the use of Amazon Comprehend for extracting information from text;

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Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage;

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Human-in-the-Loop Machine Learning

. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation;

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Machine Learning for Healthcare

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning;

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Machine Learning and Systems Engineering

reference text for researchers and graduate students, working on machine learning and systems engineering.;

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A Brief Introduction to Machine Learning for Engineers

introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning;

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Machine Learning for Text

This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the;

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Machine Learning Concepts with Python and the Jupyter Notebook Environment

book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text editor or a;

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Ensemble Classification Methods with Applications in R

An essential guide to two burgeoning topics in machine learning - classification trees and ensemble learning Ensemble Classification;

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Machine Learning with Python for Everyone

The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for;

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Machine Learning Refined

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical;

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Machine Learning for Vision-Based Motion Analysis: Theory and Techniques

to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights;

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Cognitive Computing Recipes

with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants;

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Effective Amazon Machine Learning

Learn to leverage Amazon's powerful platform for your predictive analytics needs About This Book * Create great machine learning;

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Mastering Machine Learning with Python in Six Steps

noise reduction technique for IoT data. Finally, you'll review advanced text mining techniques, recommender systems, neural networks;

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Einde inhoud

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